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Modelling And Control Of Dynamical Systems Numerical Implementation In A Behavioral Framework
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Book Synopsis Modelling and Control of Dynamical Systems: Numerical Implementation in a Behavioral Framework by : Ricardo Zavala Yoe
Download or read book Modelling and Control of Dynamical Systems: Numerical Implementation in a Behavioral Framework written by Ricardo Zavala Yoe and published by Springer Science & Business Media. This book was released on 2008-05-30 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Behavioral Approach for systems and control deals directly with the solution of the differential equations which represent the system. This book reviews this approach and offers new theoretic results. The programs and algorithms are MATLAB based.
Book Synopsis Modelling and Control of Dynamical Systems: Numerical Implementation in a Behavioral Framework by : Ricardo Zavala Yoe
Download or read book Modelling and Control of Dynamical Systems: Numerical Implementation in a Behavioral Framework written by Ricardo Zavala Yoe and published by Springer. This book was released on 2008-06-24 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Behavioral Approach for systems and control deals directly with the solution of the differential equations which represent the system. This book reviews this approach and offers new theoretic results. The programs and algorithms are MATLAB based.
Book Synopsis Biometry by : Ricardo A. Ramirez-Mendoza
Download or read book Biometry written by Ricardo A. Ramirez-Mendoza and published by CRC Press. This book was released on 2022-07-07 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biometrics provide quantitative representations of human features, physiological and behavioral. This book is a compilation of biometric technologies developed by various research groups in Tecnologico de Monterrey, Mexico. It provides a summary of biometric systems as a whole, explaining the principles behind physiological and behavioral biometrics and exploring different types of commercial and experimental technologies and current and future applications in the fields of security, military, criminology, healthcare education, business, and marketing. Examples of biometric systems using brain signals or electroencephalography (EEG) are given. Mobile and home EEG use in children’s natural environments is covered. At the same time, some examples focus on the relevance of such technology in monitoring epileptic encephalopathies in children. Using reliable physiological signal acquisition techniques, functional Human Machine Interfaces (HMI) and Brain-Computer Interfaces (BCI) become possible. This is the case of an HMI used for assistive navigation systems, controlled via voice commands, head, and eye movements. A detailed description of the BCI framework is presented, and applications of user-centered BCIs, oriented towards rehabilitation, human performance, and treatment monitoring are explored. Massive data acquisition also plays an essential role in the evolution of biometric systems. Machine learning, deep learning, and Artificial Intelligence (AI) are crucial allies here. They allow the construction of models that can aid in early diagnosis, seizure detection, and data-centered medical decisions. Such techniques will eventually lead to a more concise understanding of humans.
Book Synopsis Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management by : Andreas Fink
Download or read book Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management written by Andreas Fink and published by Springer Science & Business Media. This book was released on 2008 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book at hand presents a careful selection of relevant applications of CI methods for transport, logistics, and supply chain management problems. The chapters illustrate the current state-of-the-art in the application of CI methods in these fields and should help and inspire researchers and practitioners to apply and develop efficient methods. A few contributions in this book are extended versions of papers presented at EvoTransLog2007: The First European Workshop on Evolutionary Computation in Transportation and Logistics which was held in Valencia, Spain, in 2007. The majority of contributions are from additional, specially selected researchers, who have done relevant work in different areas of transport, logistics, and supply chain management. The goal is to broadly cover representative applications in these fields as well as different types of solution approaches. On the application side, the contributions focus on design of traffic and transportation networks, vehicle routing, and other important aspects of supply chain management such as inventory management, lot sizing, and lot scheduling. On the method side, the contributions deal with evolutionary algorithms, local search approaches, and scatter search combined with other CI techniques such as neural networks or fuzzy approaches. The book is structured according to the application domains. Thus, it has three parts dealing with traffic and transportation networks, vehicle routing, and supply chain management.
Book Synopsis Statistical Implicative Analysis by : Régis Gras
Download or read book Statistical Implicative Analysis written by Régis Gras and published by Springer. This book was released on 2008-07-06 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
Book Synopsis Design and Analysis of Learning Classifier Systems by : Jan Drugowitsch
Download or read book Design and Analysis of Learning Classifier Systems written by Jan Drugowitsch and published by Springer Science & Business Media. This book was released on 2008-05-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is probably best summarized as providing a principled foundation for Learning Classi?er Systems. Something is happening in LCS, and particularly XCS and its variants that clearly often produces good results. Jan Drug- itsch wishes to understand this from a broader machine learning perspective and thereby perhaps to improve the systems. His approach centers on choosing a statistical de?nition – derived from machine learning – of “a good set of cl- si?ers”, based on a model according to which such a set represents the data. For an illustration of this approach, he designs the model to be close to XCS, and tests it by evolving a set of classi?ers using that de?nition as a ?tness criterion, seeing ifthe setprovidesa goodsolutionto twodi?erent function approximation problems. It appears to, meaning that in some sense his de?nition of “good set of classi?ers” (also, in his terms, a good model structure) captures the essence, in machine learning terms, of what XCS is doing. In the process of designing the model, the author describes its components and their training in clear detail and links it to currently used LCS, giving rise to recommendations for how those LCS can directly gain from the design of the model and its probabilistic formulation. The seeming complexity of evaluating the quality ofa set ofclassi?ersis alleviatedby giving analgorithmicdescription of how to do it, which is carried out via a simple Pittsburgh-style LCS.
Book Synopsis Computational Intelligence in Automotive Applications by : Danil Prokhorov
Download or read book Computational Intelligence in Automotive Applications written by Danil Prokhorov and published by Springer. This book was released on 2008-05-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.
Book Synopsis Computer and Information Science by : Roger Lee
Download or read book Computer and Information Science written by Roger Lee and published by Springer. This book was released on 2008-05-07 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 7th IEEE/ACIS Conference and the 2nd IEEE/ACIS Workshop on e-Activity (IWEA 2008) featured researchers from around the world. The conference organizers selected 23 outstanding papers for this volume of Springer’s Studies in Computational Intelligence.
Book Synopsis Metaheuristics for Scheduling in Industrial and Manufacturing Applications by : Fatos Xhafa
Download or read book Metaheuristics for Scheduling in Industrial and Manufacturing Applications written by Fatos Xhafa and published by Springer. This book was released on 2008-08-22 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).
Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) by : Natalio Krasnogor
Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) written by Natalio Krasnogor and published by Springer Science & Business Media. This book was released on 2008-05-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.
Book Synopsis Supervised and Unsupervised Ensemble Methods and their Applications by : Oleg Okun
Download or read book Supervised and Unsupervised Ensemble Methods and their Applications written by Oleg Okun and published by Springer. This book was released on 2008-04-20 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book results from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) in June 2007 in Girona, Spain. This workshop was held alongside the 3rd Iberian Conference on Pattern Recognition and Image Analysis.
Book Synopsis Metaheuristics for Scheduling in Distributed Computing Environments by : Fatos Xhafa
Download or read book Metaheuristics for Scheduling in Distributed Computing Environments written by Fatos Xhafa and published by Springer. This book was released on 2008-09-08 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
Book Synopsis Partial Covers, Reducts and Decision Rules in Rough Sets by : Mikhail Ju. Moshkov
Download or read book Partial Covers, Reducts and Decision Rules in Rough Sets written by Mikhail Ju. Moshkov and published by Springer Science & Business Media. This book was released on 2009-02-12 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. It details the results of numerous experiments with randomly generated and real-life decision tables.
Book Synopsis Evolution of the Web in Artificial Intelligence Environments by : Richi Nayak
Download or read book Evolution of the Web in Artificial Intelligence Environments written by Richi Nayak and published by Springer Science & Business Media. This book was released on 2008-05-30 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.
Book Synopsis Computational Intelligence Paradigms by : L. C. Jain
Download or read book Computational Intelligence Paradigms written by L. C. Jain and published by Springer Science & Business Media. This book was released on 2008-06-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research on the innovative applications of advanced computational intelligence paradigms. Coverage includes architectures of computational intelligence paradigms, knowledge discovery, pattern classification, and gene linkage analysis.
Book Synopsis New Challenges in Applied Intelligence Technologies by : Radoslaw Katarzyniak
Download or read book New Challenges in Applied Intelligence Technologies written by Radoslaw Katarzyniak and published by Springer. This book was released on 2008-06-17 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: To built intelligent systems that can cope with real world problems we need to - velop computational mechanisms able to deal with very large amounts of data, gen- ate complex plans, schedules, and resource allocation strategies, re-plan their actions in real time, provide user friendly communication for human-device interactions, and perform complex optimization problems. In each of these tasks intelligence techno- gies play an important role, providing designers and creators with effective and adequate computational models. The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of their natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic al- rithms, fuzzy and multi-valued logics, rough sets, agent-oriented computation, often integrated into complex hybrid solutions. Intelligence technologies are used to built machines that can act and think like living systems, solve problems in an autonomous way, develop rich private knowledge bases and produce results not foreseen and programmed in a direct way by designers and creators.
Book Synopsis Computational Intelligence for Remote Sensing by : Manuel Grana
Download or read book Computational Intelligence for Remote Sensing written by Manuel Grana and published by Springer Science & Business Media. This book was released on 2008-06-05 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.
